中国科学院计算技术研究所机构知识库

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	FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence 期刊论文 IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 10, 页码: 9368-9382 作者:  Wu, Zhiyuan;  Sun, Sheng;  Wang, Yuwei;  Liu, Min;  Xu, Ke;  Wang, Wen;  Jiang, Xuefeng;  Gao, Bo;  Lu, Jinda 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Computer architecture  Training  Servers  Computational modeling  Data models  Adaptation models  Performance evaluation  Distributed architecture  edge computing  personalized federated learning  knowledge distillation  communication efficiency
	HSA-EDI: An Efficient One-Round Integrity Verification for Mobile Edge Caching Using Hierarchical Signature Aggregation 期刊论文 IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 卷号: 21, 期号: 3, 页码: 3358-3371 作者:  Li, Jian;  Zhao, Qinglin;  Teng, Shaohua;  Wu, Naiqi;  Li, Guanghui;  Sun, Yi 收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Servers  Data integrity  Image edge detection  Computational efficiency  Heuristic algorithms  Maintenance engineering  Quality of service  Edge data integrity  mobile edge computing  peredge one-round  signature aggregation
	Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1518-1531 作者:  Cui, Yangguang;  Cao, Kun;  Zhou, Junlong;  Wei, Tongquan 收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04 Training  Servers  Cloud computing  Delays  Costs  Computational modeling  Prototypes  Device frequency determination  federated learning (FL)  high efficiency  low cost  mobile-edge cloud computing (MECC)  user selection
	Toward Efficient Execution of Mainstream Deep Learning Frameworks on Mobile Devices: Architectural Implications 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 3, 页码: 453-466 作者:  Dai, Yuting;  Zhang, Rui;  Xue, Rui;  Liu, Benyong;  Li, Tao 收藏  |  浏览/下载：48/0  |  提交时间：2021/12/01 Deep learning  Mobile handsets  Performance evaluation  Mobile applications  Computational modeling  Quantization (signal)  Central Processing Unit  CPU usage  deep learning (DL)  energy efficiency  microarchitecture  mobile phone  network compression  thermal characterization
	Architecting Effectual Computation for Machine Learning Accelerators 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 10, 页码: 2654-2667 作者:  Lu, Hang;  Zhang, Mingzhe;  Han, Yinhe;  Wang, Qi;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：96/0  |  提交时间：2020/12/10 Computational modeling  Throughput  Adders  Machine learning  Acceleration  Kernel  Computational efficiency  Accelerator architectures  neural network hardware  multiplying circuits